Technology

Powered by Scentium

At the heart of NosyNode lies the Scentium™ chip—a groundbreaking olfactory sensor designed to bridge the gap between the molecular world and digital intelligence.

Engineered with cutting-edge nanomaterial arrays, Scentium mimics the human nose by detecting volatile organic compounds (VOCs) across an expansive scent spectrum. But unlike its biological counterpart, it offers real-time digital interpretation, consistent performance, and continual learning through machine intelligence. This makes Scentium not only highly sensitive and selective, but also scalable for diverse applications ranging from environmental monitoring to scent-based authentication.

What sets Scentium apart is its versatility and intelligence. Each chip integrates advanced signal processing and edge computation capabilities, enabling fast, local scent recognition before syncing securely with the Nosy network. Scentium is the reason NosyNode can operate autonomously 24/7, adapt to different contexts, and evolve with every new data point. It’s not just a sensor—it’s the nervous system of a new kind of machine perception, designed for a future where scent is as measurable, meaningful, and mappable as sight or sound.

Proof of Emergent Measurements (POEM)

POEM, or Proof of Emergent Measurements, is Nosy's decentralized truth engine for verifying scent data. In a world where scent is complex, subtle, and highly subjective, POEM ensures data reliability by using a mesh network of sensors and human validators—much like how blockchain verifies financial transactions. This system confirms the authenticity of each scent capture through multiple confirmations, preventing manipulation and enhancing trust.

POEM does more than verify—it incentivizes. Users earn token rewards when their scent contributions are validated, with higher payouts for more unique or high-quality data. This gamified, self-leveling protocol transforms scent collection into a global participatory science project, ensuring the best data rises to the top while powering the development of AI models like the Large Essence Model (LEM)​

Large Essence Model (LEM)

The LEM, or Large Essence Model, is Nosy's foundational AI framework for understanding the language of scent. Much like large language models learn from words, LEM learns from millions of digitized molecular patterns captured by the NosyNode device. It doesn’t just categorize smells—it maps them in a vast multidimensional space, revealing relationships between scents, emotional responses, health indicators, and environmental conditions. As more data is fed into the system, the LEM becomes smarter, able to predict, compare, and contextualize scents across use cases ranging from wellness to food safety to artistic expression. In essence, LEM is the “nosebrain” of the Nosy ecosystem​Nosy Project.